Haokai Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. | Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma, Yueqi Wang, He Ma, Zhengyang Su, Minmin Chen, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Ningren Han, Haokai Lu |
| 2025 | RecSys | Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. | Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han |
| 2024 | KDD | Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. | Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen |
| 2024 | RecSys | LLMs for User Interest Exploration in Large-scale Recommendation Systems. | Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen |
| 2024 | WWW | Large Language Models as Data Augmenters for Cold-Start Item Recommendation. | Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen |
| 2024 | WSDM | Long-Term Value of Exploration: Measurements, Findings and Algorithms. | Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen |
| 2024 | WSDM | Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. | Jianling Wang, Haokai Lu, Minmin Chen |
| 2023 | KDD | Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. | Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen |
| 2018 | AAAI | Location-Sensitive User Profiling Using Crowdsourced Labels. | Wei Niu, James Caverlee, Haokai Lu |
| 2018 | RecSys | Quality-aware neural complementary item recommendation. | Yin Zhang, Haokai Lu, Wei Niu, James Caverlee |
| 2018 | SIGIR | Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. | Haokai Lu, Wei Niu, James Caverlee |
| 2018 | WSDM | Neural Personalized Ranking for Image Recommendation. | Wei Niu, James Caverlee, Haokai Lu |
| 2017 | SIGIR | What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints. | Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee |
| 2016 | RecSys | TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. | Hancheng Ge, James Caverlee, Haokai Lu |
| 2016 | RecSys | Discovering What You're Known For: A Contextual Poisson Factorization Approach. | Haokai Lu, James Caverlee, Wei Niu |
| 2015 | CIKM | BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. | Haokai Lu, James Caverlee, Wei Niu |
| 2015 | RecSys | Exploiting Geo-Spatial Preference for Personalized Expert Recommendation. | Haokai Lu, James Caverlee |